Property registry
One deduplicated record, one ID, geocoded.
PRISM is a multifamily rent analytics dataset and API from CRED iQ. Active and historical public listings, structured into asking rents by unit type, floor plans, amenities, and HUD records on one property ID.
From the team behind CRED iQ, trusted since 2019 by lenders, servicers, investors, and rating agencies. See a sample response ↓
Here is what happens next.
Meanwhile, look at a sample response or the six tables.
CRED iQ property registry, September 2026. Public listings and HUD records.
Draw a map area and get the rent distribution by city and unit type: median, IQR, P10 to P90, square footage, $/sf. Click a property for its comps.
PRISM returns six tables joined on one property key, and every rent carries a source link back to the public listing it came from.
One deduplicated record, one ID, geocoded.
Studio to 4 bed. Min, max, midpoint.
Beds, baths, square footage, unit counts.
As published, with observed dates.
Normalized across sources.
Year built, units, inspection scores, subsidy flags.
Anyone who assembles multifamily rent comps by hand today, one listing site at a time.
Comps per unit type, source link on every rent.
Benchmark collateral against nearby asking rents.
Size a submarket by unit mix and rent in one call.
Skip the scrapers. Take the tables.
Public listings and HUD records in, deduplicated to one record per property, structured by unit type, with a source map on every value. No subscriber data.
Every rent was publicly advertised.
PRISM never recommends a rent.
No subscription depends on providing data.
Submarket benchmarks are anonymized.
"Every rent in PRISM was advertised to the public before it ever reached us. We are not asking anyone to hand over a rent roll, and we are not telling anyone what to charge. PRISM shows what the market is publicly asking, unit by unit."
Three ways in, same tables out.
{
"address": "200 Mount Hope Pl, Bronx, NY 10457",
"floor_plans": [
{ "name": "1BR / 648sf", "bedrooms": 1, "sqft": 648,
"rent_min": 2395, "rent_max": 2595 },
{ "name": "2BR / 871sf", "bedrooms": 2, "sqft": 871,
"rent_min": 2995, "rent_max": 3200 }
],
"amenities": ["laundry", "elevator", "fitness_center"],
"hud": { "year_built": 1962, "total_units": 96,
"inspection_score": 82 }
}
PRISM is a multifamily rent analytics dataset and API from CRED iQ. It structures active and historical public rental listings into asking rents by unit type, floor plans, amenities, availability, and HUD records, keyed to one property ID, for more than one million U.S. multifamily properties.
Every rent in PRISM was publicly advertised to prospective tenants on rental listing sites, plus public HUD records. PRISM does not use subscriber rent rolls or lease transaction data, and no subscription is conditioned on providing data.
No. PRISM is a benchmarking dataset. It reports what the market is publicly asking, by property and unit type, and does not issue pricing recommendations or tailor outputs to any subscriber.
Most sources are collected weekly, with runs staggered across the week. Each record carries a source map showing which listings contributed and when they were observed.
Six tables joined on one property key: property registry, unit-type asking rents with min, max, and midpoint, floor plans and units, availability and lease terms, amenities and ratings, and HUD enrichment. Market analytics endpoints return median, interquartile range, P10 to P90, square footage, and rent per square foot by city and unit type.
Waitlist members receive an API key in order of signup, access to the property detail, rental comps, and market analytics endpoints, sample bulk extracts, and setup help from the CRED iQ team. No credit card is required.
The API trial is free. Commercial licensing is priced by delivery method (API, bulk data feeds, or platform access) and volume. Pricing is shared during the trial, and enterprise licensing is available at Team@cred-iq.com.
First API trial invitations, sample extracts, and a direct line to the team. No credit card.